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Quantized Gromov-Wasserstein

Quantized Gromov-Wasserstein

5 April 2021
Samir Chowdhury
David W. Miller
Tom Needham
ArXivPDFHTML

Papers citing "Quantized Gromov-Wasserstein"

16 / 16 papers shown
Title
The Z-Gromov-Wasserstein Distance
The Z-Gromov-Wasserstein Distance
Martin Bauer
Facundo Mémoli
Tom Needham
Mao Nishino
OT
55
2
0
15 Aug 2024
Minibatch optimal transport distances; analysis and applications
Minibatch optimal transport distances; analysis and applications
Kilian Fatras
Younes Zine
Szymon Majewski
Rémi Flamary
Rémi Gribonval
Nicolas Courty
OT
99
59
0
05 Jan 2021
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and
  Relaxation
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Thibault Séjourné
François-Xavier Vialard
Gabriel Peyré
OT
59
70
0
09 Sep 2020
Gromov-Wasserstein Distance based Object Matching: Asymptotic Inference
Gromov-Wasserstein Distance based Object Matching: Asymptotic Inference
C. Weitkamp
K. Proksch
Carla Tameling
Axel Munk
104
7
0
22 Jun 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning
Generalized Spectral Clustering via Gromov-Wasserstein Learning
Samir Chowdhury
Tom Needham
37
54
0
07 Jun 2020
Fast and Robust Comparison of Probability Measures in Heterogeneous
  Spaces
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces
Ryoma Sato
Marco Cuturi
M. Yamada
H. Kashima
100
23
0
05 Feb 2020
MREC: a fast and versatile framework for aligning and matching point
  clouds with applications to single cell molecular data
MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data
Andrew J. Blumberg
Mathieu Carrière
Michael A. Mandell
R. Rabadán
Soledad Villar
28
14
0
06 Jan 2020
Gromov-Wasserstein Averaging in a Riemannian Framework
Gromov-Wasserstein Averaging in a Riemannian Framework
Samir Chowdhury
Tom Needham
42
36
0
10 Oct 2019
Solving graph compression via optimal transport
Solving graph compression via optimal transport
Vikas Garg
Tommi Jaakkola
OT
40
16
0
29 May 2019
Sliced Gromov-Wasserstein
Sliced Gromov-Wasserstein
Titouan Vayer
Rémi Flamary
Romain Tavenard
Laetitia Chapel
Nicolas Courty
OT
46
100
0
24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu
Dixin Luo
Lawrence Carin
55
195
0
18 May 2019
Learning Generative Models across Incomparable Spaces
Learning Generative Models across Incomparable Spaces
Charlotte Bunne
David Alvarez-Melis
Andreas Krause
Stefanie Jegelka
GAN
50
112
0
14 May 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu
Dixin Luo
H. Zha
Lawrence Carin
87
259
0
17 Jan 2019
Gromov-Wasserstein Alignment of Word Embedding Spaces
Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis
Tommi Jaakkola
OT
54
328
0
31 Aug 2018
Optimal Transport for structured data with application on graphs
Optimal Transport for structured data with application on graphs
Titouan Vayer
Laetitia Chapel
Rémi Flamary
R. Tavenard
Nicolas Courty
OT
63
273
0
23 May 2018
Computational Optimal Transport
Computational Optimal Transport
Gabriel Peyré
Marco Cuturi
OT
209
2,146
0
01 Mar 2018
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